plotly / plotly/plotly.py

Plotly object not displayed by ipywidgets Button

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bug P3
Dominant language
Python
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Description

Description

I am not sure if this is a bug or just something that is not yet supported. When trying to display plotly plots (plotly object) by clicking the Button widget, I run into some issues. Regarding the Databricks issue, I have also contacted them as I am not sure that error is on the plotly side. The Button displays other objects (such as their IntSlider) correctly.

Local

Plotly object is simply not displayed (no error is thrown). Same happens if the fig is defined outside the on_click function and only fig.show() is called:

Local_error

Databricks

Uncaught ReferenceError: Plotly is not defined is thrown. Same happens even if plotly is defined at any place (e.g. inside the on_click function).

DB_error

Reproduce

Minimal working example code:

import ipywidgets as widgets
import plotly.graph_objects as go


output_button = widgets.Output()

button = widgets.Button(
        description='Fail to show plotly object',
        disabled=False,
        button_style='success',
        icon='',
        layout=widgets.Layout(width='480px', height='60px'),
        style={'description_width':'initial'})


def fun_output(b):
    with output_button:
        print("Normal output works!")
        fig = go.Figure()
        fig.add_scatter(
                x = [1, 2, 3, 4],
                y = [3, 4, 5, 6],
                opacity=0.8)
        fig.show()
        print("Plotly object not displayed!")

button.on_click(fun_output)

display(button, output_button)

Expected behavior

Expected the Plotly plot to be shown.

Context

  • ipywidgets version 8.0.6
  • Operating System and version: Win10
  • Browser and version: /
Troubleshoot Output
sys.version:
        3.10.0 | packaged by conda-forge | (default, Nov 10 2021, 13:20:59) [MSC v.1916 64 bit (AMD64)]

platform.platform():
Windows-10-10.0.19044-SP0

where jupyter:
C:\Users<user_name>.conda\envs\sandbox\Scripts\jupyter.exe

pip list:
Package Version
----------------------------- ---------
asttokens 2.2.1
attrs 23.1.0
backcall 0.2.0
backports.functools-lru-cache 1.6.4
certifi 2022.12.7
colorama 0.4.6
contourpy 1.0.7
cycler 0.11.0
debugpy 1.5.1
decorator 5.1.1
et-xmlfile 1.1.0
executing 1.2.0
fastjsonschema 2.16.3
fonttools 4.38.0
importlib-metadata 6.0.0
ipykernel 6.15.0
ipython 8.10.0
ipywidgets 8.0.6
jedi 0.18.2
jsonschema 4.17.3
jupyter_client 8.0.3
jupyter_core 5.2.0
jupyterlab-widgets 3.0.7
kiwisolver 1.4.4
llvmlite 0.39.1
matplotlib 3.6.3
matplotlib-inline 0.1.6
nbformat 5.8.0
nest-asyncio 1.5.6
numba 0.56.4
numpy 1.24.1
openpyxl 3.1.1
packaging 23.0
pandas 1.5.3
parso 0.8.3
pickleshare 0.7.5
Pillow 9.4.0
pip 22.3.1
platformdirs 3.0.0
plotly 5.14.1
prompt-toolkit 3.0.36
psutil 5.9.0
pure-eval 0.2.2
Pygments 2.14.0
pyparsing 3.0.9
pyrsistent 0.19.3
python-dateutil 2.8.2
pytz 2022.7.1
pywin32 305.1
pyzmq 23.2.0
setuptools 65.6.3
six 1.16.0
stack-data 0.6.2
tenacity 8.2.2
tornado 6.2
traitlets 5.9.0
typing_extensions 4.4.0
wcwidth 0.2.6
wheel 0.37.1
widgetsnbextension 4.0.7
wincertstore 0.2
zipp 3.14.0

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the minimal example at the fun_output callback, output_button, and button.on_click entry points, reproducing it with the reported ipywidgets 8.0.6 and plotly 5.14.1 versions. Compare local and Databricks behavior, including the reported browser error; done means the Plotly figure renders after clicking the Button in both contexts.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python
Domain
frontend
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
35/100

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